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Quentin Fournier

Protein Language Models: Is Scaling Necessary?
2024 · Quentin Fournier, Robert M. Vernon, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 42
CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design
2025 · Govindarajan, Prashant, Baldelli, Davide, et al. · arXiv (Cornell University) · 26
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A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
2024 · Megh Thakkar, Quentin Fournier, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 15
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Exploring Quantization for Efficient Pre-Training of Transformer Language Models
2024 · Kamran Chitsaz, Quentin Fournier, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 10
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A Large Scale Investigation of Scaling Limits in Chemical Language Models
2025 · Balaji, Roshan, Chitsaz, Kamran, et al. · arXiv (Cornell University) · 7
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Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
2024 · Thakkar, Megh, Fournier, Quentin, et al. · arXiv (Cornell University) · 7
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Structure-Aligned Protein Language Model
2025 · Chen, Can, Heurtel-Depeiges, David, et al. · arXiv (Cornell University) · 5
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Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
2025 · Megh Thakkar, Quentin Fournier, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5
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pLM representations unlock metagenomic space beyond homology
2026 · Lola Le Breton, David Heurtel-Depeiges, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
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High-resolution dissection of concept acquisition in different families of protein language models
2026 · Shawn Whitfield, Tom Marty, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
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Small Encoders Can Rival Large Decoders in Detecting Groundedness
2025 · Istabrak Abbes, Gabriele Prato, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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recAMPLIFY: Large-Scale Pretraining of Recursive Protein Language Models
2026 · Jha, Saurav, Liao, Qianli, et al. · arXiv (Cornell University)
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Multi-Objective Amortized CDRH3 Sequence Sampling Diversifies Promising Antibody Candidates
2026 · Viviano, Joseph D., van der Sloot, Almer, et al. · arXiv (Cornell University)
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A systematic analysis of machine learning pipelines for robust antimicrobial resistance prediction
2026 · Alex Aselstyne, Enamundram Naga Karthik, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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CoPeP: Benchmarking Continual Pretraining for Protein Language Models
2026 · Patil, Darshan, Malviya, Pranshu, et al. · arXiv (Cornell University)
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Manifold Metric: A Loss Landscape Approach for Predicting Model Performance
2024 · Malviya, Pranshu, Huang, Jerry, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 120
H-index: 6
I10-index: 4
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